Performance Analysis and Improvement of Storage Virtualization in an OS-Online System

Abstract

An OS-online system called TransCom is based on a virtual storage system that supports heterogeneous services of the operating system and applications online. In TransCom, OS and software which run in the client are stored on the centralized servers, while computing tasks are carried out by the clients, so the server is the bottleneck of the system performance. This paper firstly analyzes the characteristics of its real usage workload and builds a queuing model to locate the system bottlenecks. According to the study, the disk is the primary bottleneck, so an optimal two-level cache arrangement policy is developed on both the server and the client, which aims to avoid most of the server disk accesses. LRU algorithm is used in the client-side cache. A cache management algorithm called Frequency-based Multi-Priority Queues (FMPQ) proposed in this paper is used in the server-side cache. Experiment results show that the appropriate cache arrangement can significantly improve the capability of the TransCom server.

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Y. Gao, Y. Zhang and Y. Zhou, "Performance Analysis and Improvement of Storage Virtualization in an OS-Online System," Journal of Software Engineering and Applications, Vol. 5 No. 11A, 2012, pp. 912-922. doi: 10.4236/jsea.2012.531106.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica and M. Zaharia, “A View of Cloud Computing,” Communications of the ACM, Vol. 53, No. 4, 2010, pp. 50-58. doi:10.1145/1721654.1721672
[2] R. Buyya, “Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities,” 10th IEEE International Conference o High Performance Computing and Communications, Dalian, 25-27 September 2008, pp. 5-13.
[3] Y. X. Zhang, “Transparent Computing: Concept, Architecture and Example,” Chinese Journal of Electronics, Vol. 32, No. 12A, 2004, pp. 169-174.
[4] Y. X. Zhang and Y.-Z. Zhou, “4VP: A Novel Meta OS Approach for Streaming Programs in Ubiquitous Computting,” 21st International Conference on Advanced Information Networking and Applications (AINA 2007), Niagara Falls, 21-23 May 2007, pp. 394-403
[5] W. Aspray, “The Stored Program Concept,” IEEE Spectrum, Vol. 27, No. 9, 1990, pp. 51-57. http://dx.doi.org/10.1109/6.58457
[6] L. Wei, Y. X. Zhang and Y.-Z. Zhou, “TransCom: A Virtual Disk Based Self-Management System. Autonomic and Trusted Computing,” 4th International Conference (ATC 2007), 11-13 July 2007, Hong Kong, pp. 509-518
[7] W. Y. Kuang, Y. X. Zhang, Y.-Z. Zhou, et al., “NSAP—A Network Storage Access Protocol for Transparent Computing,” Tsinghua University (Science & Technology), Vol. 49, No. 1, 2009, pp. 106-109.
[8] B. Pfaff, T. Garfinkel and M. Rosenblum, “Virtualization Aware File Systems: Getting beyond the Limitations of Virtual Disks,” Proceedings of the 3rd Symposium on Networked Systems Design and Implementation (NSDI06), San Jose, 8-10 May 2006.
[9] S. Tang, Y. Chen and Z. Zhang, “Machine Bank: Own Your Virtual Personal Computer,” Proceedings of the 21st IEEE International Parallel and Distributed Processing Symposium (IPDPS’07), Long Beach, 26-30 March 2007, pp. 1-10.
[10] D. T. Meyer, G. Aggarwal, B. Cully, G. Lefebvre, et al., “Parallax: Virtual Disks for Virtual Machines,” Euro-Sys’08, Glasgow, 31 March 4 April 2008.
[11] C. I. Aven, E. G. I. Coffmann and I. A. Kogan, “Stochastic Analysis of Computer Storage,” Reidel, Amsterdam, 1987.
[12] W. H. Windsor and A. J. Smith, “The Real Effect of I/O Optimizations and Disk Improvements,” UCB/CSD-03-1263, University of California, San Diego, 2003.
[13] R. Karedla, J. S. Love and B. G. Wherry, “Caching Strategies to Improve Disk System Performance,” Computer, Vol. 27, No. 3, 1994, pp. 38-46. doi:10.1109/6.58457
[14] T. Johnson and D. Shasha, “2Q: A Low Overhead High Performance Buffer Management Replacement Algorithm,” Proceedings of Very Large Databases Conference, Seoul, 12-15 September 1995, pp. 439-450.
[15] J. Robinson and M. Devarakonda, “Data Cache Management Using Frequency-Based Replacement,” Proceedings of ACM SIGMETRICS Conference Measurement and Modeling of Computer Systems, Boulder, 22-25 May 1990, pp. 134-142. doi:10.1145/98457.98523

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